The Web 3.0 era has made the use of digital e-platforms extremely popular, and people can access various digital platforms for online communication through mobile phones, computers and other devices. Nowadays, when material life is booming, the emergence of digital e-platforms has also led to great changes in people's consumption patterns. The platform capitalism arising from digital e-platforms has gradually taken a dominant position in the global economic market, and e-commerce-based platforms combined with social media platforms have created a new type of s-commerce. This article will use the research method of qualitative analysis, taking Wotobuy as an example, to introduce Wotobuy's platform characteristics and operation modes, and to explore and explain how platform capitalism affects consumer spending patterns, sectors of the economy, the labor market, the value creation process and social dynamics. The research finds that platform capitalism has changed the way consumers shop, but it has also raised significant concerns about power, privacy and the treatment of employees. In order to address these concerns, a balance must be found between innovation and regulation, and the development and intervention of relevant laws is necessary due to the growing influence of platforms.

The efficient market hypothesis is a significant theory widely applied in modern economic and financial research about the impact of sudden global emergencies on various markets. Investigating the influence of the Efficient Market Hypothesis on public contingencies can augment the understanding of market behavior and investors’ decision-making processes. This could enable anticipating market trends and risks, facilitating prudent investment activities. This study examines the empirical research through the methodology chosen, application, and comparison of conclusions to summarize the effects of the crisis on financial market efficiency within a theoretical analysis framework. This study explores the different methodologies and results of research that test market efficiency in response to events impacting economic performance. As market theory evolves, increasingly refined models are being used, leading to more precise measurements of event effects on markets and better forecasting of market impact for effective decision-making.

The Regional Comprehensive Economic Partnership (RCEP) is the world's most populous free trade area with the largest economic and trade scale and the most development potential, and it will officially come into force in 2022, providing an opportunity for RCEP member countries to attract investment from China. Based on the information of economic and demographic characteristics of RCEP member countries from 2012 to 2020 and the panel data from China's ODFI, this paper measures and examines the influencing factors of China's direct investment in RCEP member countries by constructing a bidirectional fixed effects panel model of China's direct investment in RCEP countries. It is found that: the host country's net per capita national income, per capita GDP growth rate, merchandise trade and service trade inhibit China's investment in RCEP member countries, while the host country's GDP growth rate, per capita GDP can promote China's investment in RCEP countries, the host country's industry, exchange rate, and legal indices are not the main factors affecting China's direct investment in RCEP, and should be used in the comprehensive investment decision-making when On the basis of considering the unbalanced economic development of each country, the optimal layout of China's direct investment in RCEP member countries should be co-ordinated to provide more opportunities for Chinese enterprises to enter the markets of RCEP member countries.

This paper presents a comprehensive analysis of how COVID-19 has impacted the economies of China and the United States. It explores their responses, policy measures, and sectoral dynamics during and in the aftermath of the pandemic. Both countries faced significant economic contractions as a result of the crisis. However, their paths to recovery diverged. China's centralized governance played a crucial role in enabling a swift rebound, as the government implemented strict containment measures and provided substantial fiscal and monetary support. In contrast, the United States, with its federal structure, encountered a more prolonged recession, as coordinated responses were more challenging to achieve. Nonetheless, both governments recognized the importance of adaptive policies, implementing significant fiscal and monetary measures to support their economies. The pandemic revealed vulnerabilities in global supply chains, leading to efforts to enhance resilience. Both China and the United States recognized the need to diversify supply chains and develop resilient industries to reduce reliance on international markets. Sectoral analysis highlighted divergent impacts, emphasizing the urgency of economic diversification and the promotion of resilient industries capable of withstanding future shocks. Employment challenges and labor market dynamics were critical concerns for both nations. Both China and the United States faced the daunting task of preserving jobs and ensuring stability in their labor markets. The study recognizes the importance of implementing measures to support workers during such challenging times and advocates for inclusive approaches to foster a sustainable recovery.

China's social development has been influenced by a myriad of factors, including labor force dynamics, population aging, and economic growth. Notably, the gradual decrease in the birth rate has emerged as a critical concern, warranting in-depth analysis of its implications. This paper delves into the current state of China's birth rate, identifies the challenges associated with it, and explores its impact on the nation's comprehensive national strength. This paper conclude that the effect of the birth rate on the sustainability of China's economy. As the domestic consumer base dwindles, economic growth may face obstacles due to reduced domestic demand. Additionally, a higher dependency ratio, with fewer workers supporting a growing elderly population, could further strain public resources and social welfare systems. In light of these challenges, this abstract offers recommendations to address the declining birth rate and its impact on China's economic development.

This paper explores the mediating effect of investor sentiment on the relationship between China's economic policy uncertainty and the CSI 300 stock market returns. The study employs Principal Component Analysis (PCA) to construct the investor sentiment index, integrating six proxy variables. Additionally, the bootstrap analysis method is utilized to examine whether investor sentiment acts as an intermediary in determining the impact of economic policy uncertainty on stock market performance. The findings reveal that a significant portion (87.0%) of the total effect of economic policy uncertainty on stock returns is mediated through investor sentiment. The study underscores the pivotal role of investor sentiment in financial market behavior and emphasizes the need for policymakers to consider its influence during economic adjustments. Furthermore, it provides crucial recommendations for individual investors, promoting informed and rational decision-making in the dynamic financial landscape.

The eastern Chinese province of Zhejiang is highly developed and contributes to the real estate business. The paper uses quarterly data from 2011 to 2021 to create a Structural Vector Autoregressive (SVAR) model to explore the empirical dynamics between personal housing credit policies and house price changes in Zhejiang Province, China. Impulse response and variance decomposition research reveal that loan interest rates considerably affect housing values. Interest rates affect property values by 0.85% to 30.19% over time. The initial rise in loan interest rates boosts real estate values, but the successive increase will lower them until stability is reached. Large personal mortgage loans also affect housing prices. Throughout time, the share of factors affecting property prices with respect to mortgage loans ranges from 2.32% to 4.31%. The size of mortgage debt boosts home values. Thus, a corresponding easing of mortgage borrowing ceilings will boost home prices. The causal relationship between GDP and housing price swings is unclear, although its impact is stable with modest variations within a limited range. Zhejiang Province should be cautious when adjusting personal mortgage loans and interest rates while improving regulatory control. These techniques reduce market speculation and negative factors to ensure market stability and longevity.

Decentralised finance (DeFi) is a decentralised peer-to-peer system based on blockchain technology that facilitates lending and borrowing through smart contract code and lending protocols replacing traditional financial activities that typically require trusted intermediaries such as brokers or banks. In this essay, the four factors of collateral presentation, borrowing rate, lending relationship, and subject of legal connection are compared between decentralized and centralized financial lending models. This paper illustrates the entire DeFi lending model using Compound as a real-world example. The borrowing interest rate is decided in real time by Compound's smart contract according to the supply and demand of funds in the market, so the borrower does not need to bargain with the lender. The smart contract will automatically match the money market. Additionally introduced are the DeFi innovation's concept and features. The paper concludes by discussing the advantages of DeFi lending and borrowing, the hazards associated with doing so, and providing an outlook on the future path of DeFi research.

With the development of electronic information technology, the use of electronic communication equipment for work communication has become ubiquitous in people's work and life, and has brought a series of positive and negative effects. The purpose of this study is to review and analyze the academic literature on non-work time participation in work-related electronic communication. A significant finding is that most of the existing literature focuses on how non-working electronic communication affects employee initiative, work-family conflict, and time banditry behavior. At the same time, there is relatively little discussion on employee work performance. Therefore, this study aims to analyze the relationship between remote employees engaged in work-related electronic communication during non-working time and their work performance by applying affective events theory, job characteristics model theory, and job demands-resources model theory, to provide effective suggestions for enterprises and employees on how to balance work and life.

In March 2022, the sudden shift in monetary policy by the Federal Reserve, which has been followed by eleven consecutive interest rate hikes totaling 525 basis points, has had a profound impact on the global economy. This article utilizes an ARIMA model to forecast the Nasdaq and SSEC indices and empirically analyzes the spillover effects of the Fed's interest rate hikes and balance sheet reduction on the Chinese stock market. In the short term, the unconventional monetary policies of the Federal Reserve are expected to have significant negative effects on the Chinese stock market. However, in the long term, China's financial market will gradually absorb these impacts and adjust the stock market trajectory according to its own economic cycle. Based on this empirical research, the article offers recommendations for Chinese policymakers on how to safeguard against such international financial events. It emphasizes the need to strengthen regulation, closely monitor the monetary policy directions of both countries, and make flexible adjustments to policies, avoiding one-size-fits-all approaches. As China serves as a representative of emerging economies, the findings of this study have implications for policymakers in other emerging economies as well.

Amid the prevailing trend of technological supremacy, the scientific research level plays a pivotal role in elevating economic growth and national comprehensive strength. As crucial forces propelling industrial advancement and economic expansion, high-tech companies share an intricate relationship between scientific research level and enterprise strengths. This study delves into the influence of research level on the financing capacity of enterprises in the STAR market. It employs Ordinary Least Squares (OLS) regression and Gradient Boosting Regression Trees (GBRT) techniques to analyze data between 2019 and 2022. The findings underscore that patent research capabilities and research investment intensity are key factors impacting financing capacity. Specifically, patent quantity exhibits a negative correlation with Asset-liability ratio (ALR), while research investment intensity shows a positive correlation. On the other hand, patent quantity correlates positively with commercial credit financing (CCF) capacity, whereas the proportion of research personnel correlates negatively. The GBRT analysis further validates the significant impact which patent quantity and research investment have on financing capacity. This suggests that high-tech companies should focus on enhancing research efficiency and the proportion of research personnel, while also carefully considering the degree of emphasis on innovation. These measures can balance CCF and debt ratio considerations. The study provides essential decision-making insights for managers and investors of technology-driven firms, emphasizing the significance of technological innovation in business development. Also, it offers guidance for optimizing corporate development and personnel structures in the technology and innovation sectors.

Based on the background that China has entered an aging society, according to the topic proposed by the consumption status of the elderly around them, the research on the impact of different marketing methods on it is studied. By analyzing the characteristics of the elderly market and the problems and impacts of various marketing methods, this study designs a questionnaire based on the survey, collects information from the elderly of different ages and genders, analyzes the questionnaire data, and puts forward relevant feasibility suggestions concerning the data model. This study has great significance on the influence and development trend of the consumption behavior of the elderly. Finally, the plan for the elderly market can be provided by formulating explicit provisions to protect the consumer rights and interests of the elderly, standardize the consumer market for the elderly, establish industry norms, and protect the consumption rights and interests of the elderly. At the same time, correctly guide the consumption of the elderly, prevent the elderly from property loss or health problems, and then develop and improve the elderly consumer market from the marketing perspective.

Promoting the development of green industries to facilitate the growth of green finance has become a consensus among various sectors of society. This article focuses on the game theory strategies between governments and polluting companies in the context of green finance. Taking the Prisoner's Dilemma game model as an example, we discuss if polluting companies, under different types of governments, would choose to allocate loans towards improving production and environmental projects. Furthermore, we analyze whether the preferences of the general public towards eco-friendly products would influence the game strategies of governments and polluting companies. Through solving the model, we find that when governments increase penalties for polluting projects, reduce the costs of environmental project research and development for polluting companies, enhance environmental awareness among the general public, and stimulate their preference for eco-friendly products, they can strengthen corporate social responsibility and promote green investments. Consequently, polluting companies are more likely to invest in environmental projects to gain greater returns.

Education has always been a very important research issue, and China's higher education has developed rapidly along with its economic take-off. The issue of the correlation between education and economic development has also been researched many times in the academic world. So, this paper analyzes the dynamic correlation between the development of higher education and China's economic development, as well as the gross domestic product of the People's Republic of China (excluding Hong Kong Special Administrative Region of China, Macao Special Administrative Region of China, and Taiwan Province of China) for the period 1978-2021, based on the existing literature, through the data on the number of graduates from higher education, general higher education, and postgraduates (master's degree and doctorate). It is finally concluded that economic growth will directly contribute to the development of higher education, and similarly, the growth of higher education will offset economic growth with a slight lag.

This study is mainly about the organization of the modern Olympic games and the way they operate these games. In the beginning, the passage will introduce the Olympic games, like the original of the games and the whole situation about the Olympic games. Then, the passage will introduce the Paris Olympic Games. The passage will go through the Paris Olympic Games to analyze the organizational model and event operation of the modern Olympic Games. Firstly, the passage will analyze the new sports which are the first time appearing in Paris and the planning of each competition. Next, the passage will talk about the venue in Paris. In the next paragraph, the passage compares Paris and London Olympics. It will use some specific data to show the advantages of the Paris Olympics, which are better than the London Olympics and show the progress of the Paris Olympic Games. The passage will compare these two Olympic games in some ways, like cost, venue, arrangement of the competitions, containment, the new technology used in the Olympics. Moreover, it will talk about the improvement of the Paris Olympic Games, even the modern Olympics, which will hold in the future. Finally, the conclusion will show the advantages of the operation and organization model of the Paris Olympic Games. The data on the Olympics may have limitations, so it will also show the progress and the improvement of the Olympic games through the comparison between the two Olympic games.

Three Gorges Project is one of the most famos famous project, this hydroelectric station is the most extensive in the world. After completion of this hydropower station, it also had a very large impact on the environment and economy of the Three Gorges area, directly changing the ecological environment and economic development of the area. This article analyzes the impact on the local environment since the completion of Three Gorges Dam, and the economic advance of Three Gorges region. Work on Three Gorges Dam began in 1994 and has been completed in 2020. Results show that the environment in Three Gorges region is relatively harsh, augment in water levels in Three Gorges has had a significant impact, many residents have had to move out of their long-lived land, and some wild fish populations have also been reduced because it is difficult to return upstream to spawn. Tourism should be developed to revitalize the local economy. There are also some suggestions can effectively alleviate these problems such as designate better tourism policies.

This article mainly studies the developments and income increase of the National Basketball Association (NBA) in China over the past 16 years from 2007 till today, as well as those new factors that have led to the increase in income. This research summarizes and sorts out various factors that affect the NBA’s income in China, and offers some suggestions to improve the development of the NBA in China. This paper mainly reviews some articles and constructs mind maps to summarize the key determinants. This study examines the continuous increase in factors’ statistics and the rise of overall income of NBA in China. According to the research findings, the additional factors such as network broadcasts in recent years has indeed increased the overall revenues of the NBA in China by 5 to 6 percent. These factors make the overall NBA revenues in China rise in an efficient way. According to the result, this article provides some helpful suggestions, such as integrating NBA peripheral products with Chinese culture, co-branding NBA with short video platforms, and combining NBA with digital software. These are all suggestions to help the NBA develop better in China.

In this study, the benefits of private domain sales are examined using the case study of Kuaituantuan Company. The research specifically investigates the advantages of target customer positioning, customer loyalty, product customization, and sales conversion rates. Empirical research methods, such as case studies and data collection, were employed to gather insights. The findings reveal that private sales offer precise targeting, foster loyal customer relationships, enable personalized service, and yield high conversion rates. This study contributes practical experience and guidance for enterprises seeking to attain a competitive edge in the market. By leveraging private domain sales, companies can develop effective sales strategies and business models to effectively navigate challenges. The research underscores the significance of private domain sales as a powerful tool for companies to enhance their market position and drive growth. The findings provide valuable insights for businesses aiming to optimize their sales approach and capitalize on the potential of private domain sales in today's competitive landscape.

Supply chains have been severely affected by the epidemic, which has an impact on shareholder value and corporate performance. Effective management of company continuity can be a potent instrument for reducing damage to operations and reputation. This study investigates how disruptions in global supply chains spread and how they affect the ecosystem. It emphasizes how crucial it is to comprehend these interactions because they may have an effect on not only the impacted organization but also its rivals, clients, and suppliers. With the help of digital technologies, businesses are now better able to handle information, improve integration, and increase supply chain resilience. They have the potential to improve resilience in the wake of unanticipated events like pandemics by promoting traceability and adaptability within the supply chain. The assessment urges enterprises to speed up the adoption of intelligent technology and automation as it comes to the post-COVID-19 age in order to increase the supply chains' resilience, sustainability, and robustness. Additionally, it suggests tactics like geographic supply chain redistribution, supplier network diversity, and the adoption of circular economy principles.

Digital marketing strategy is an important strategy in the current business field, which leverages digital technology and various digital platforms and tools to interact and communicate with target audiences, in order to enhance brand awareness, increase sales, and promote customer engagement. With the rapid development of internet technology and the increasing demand for digital content, the significance of digital marketing strategy has become increasingly important. However, along with the many opportunities brought by digital marketing, there are also challenges. Enhancing brand awareness, addressing sales issues, and increasing customer engagement have become difficult problems for businesses. By using quantitative and qualitative research methods, combined with empirical data and case analysis, this paper explores in-depth the impact of digital marketing strategy on brand awareness, sales growth, and customer engagement, analyzes the role of digital platforms and tools in brand promotion, as well as the effects of personalized marketing and interactive activities on sales and customer engagement. The results demonstrate that digital marketing strategy has a positive impact on enhancing brand awareness, promoting sales growth, and increasing customer engagement. Through digital platforms and tools, businesses can more accurately target their customers, provide personalized content and interactive activities, and thus expanding their brand influence and attracting consumers’ attention, improving purchase rates and customers’ loyalty. This study provides practical guidelines for businesses to develop more effective digital marketing strategies.